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Lead AWS Data Engineer

On site

Data

Added

18 minutes ago

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Full time

Salary

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Related skills

redshift aws sql python pl/sql

📋 Description

Design, develop, and maintain scalable data pipelines, ETL/ELT processes.
Build cloud-native data solutions using AWS services (Glue, Lambda, Redshift, S3).
Develop and optimize large-scale data processing with Python, PySpark, SQL, and PL/SQL.
Design and implement enterprise data warehouses, data marts, and dimensional models.
Collaborate with stakeholders to deliver data-driven solutions.
Ensure data quality, governance, security, and lifecycle management.

🎯 Requirements

8–10 years of experience in Data Engineering, Data Warehousing, and Cloud Data Platform development.
Strong AWS expertise: Glue, Lambda, Redshift, Aurora, OpenSearch, Step Functions, SNS, and S3.
Advanced proficiency in Python and PySpark for large-scale data processing.
Strong SQL and PL/SQL development and optimization.
Extensive experience building ETL/ELT pipelines and data ingestion frameworks.
Deep understanding of data warehousing concepts and dimensional modeling.

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